from bot.models import Depth, FocusArea
from bot.prompts.depth import DEPTH_SYNTHESIS_MODIFIERS
from bot.prompts.focus_areas import FOCUS_SYNTHESIS_SECTIONS

_BASE = """\
You are producing a final report for a Telegram channel analysis.

Channel: {title} (@{username})
Subscribers: {subscribers}
Total messages analyzed: {msg_count}
Analysis chunks: {chunk_count}

Below are the summaries from each chunk of the channel's history:

{chunk_summaries}
"""


def build_synthesis_prompt(
    depth: Depth,
    focus_areas: list[FocusArea],
    lang: str,
    title: str,
    username: str | None,
    subscribers: int | None,
    msg_count: int,
    chunk_summaries: list[str],
) -> str:
    numbered = "\n\n".join(
        f"### Chunk {i+1}\n{s}" for i, s in enumerate(chunk_summaries)
    )
    base = _BASE.format(
        title=title,
        username=username or "N/A",
        subscribers=subscribers or "N/A",
        msg_count=msg_count,
        chunk_count=len(chunk_summaries),
        chunk_summaries=numbered,
    )
    parts = [base]

    parts.append("Synthesize the chunk summaries into a comprehensive report with these sections:\n")
    parts.append("## Overview\nBrief channel description and positioning.\n")

    for area in focus_areas:
        parts.append(FOCUS_SYNTHESIS_SECTIONS[area] + "\n")

    parts.append("## Key Takeaways\nSummarize the most important findings.\n")

    parts.append(DEPTH_SYNTHESIS_MODIFIERS[depth])
    parts.append(f"\nWrite the entire report in {'Russian' if lang == 'ru' else 'English'}.")
    parts.append("Use Telegram-friendly formatting (bold, bullet points). Be specific — reference actual content patterns.")

    return "\n".join(parts)